本文整理了Java中org.apache.crunch.types.writable.Writables.pairs()方法的一些代码示例，展示了Writables.pairs()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。Writables.pairs()方法的具体详情如下：
包路径：org.apache.crunch.types.writable.Writables
类名称：Writables
方法名：pairs

Writables.pairs介绍

暂无

代码示例

代码示例来源：origin: cloudera/crunch

public <V1, V2> PType<Pair<V1, V2>> pairs(PType<V1> p1, PType<V2> p2) {
 return Writables.pairs(p1, p2);
}

代码示例来源：origin: org.apache.crunch/crunch

public <V1, V2> PType<Pair<V1, V2>> pairs(PType<V1> p1, PType<V2> p2) {
 return Writables.pairs(p1, p2);
}

代码示例来源：origin: org.apache.crunch/crunch-core

public <V1, V2> PType<Pair<V1, V2>> pairs(PType<V1> p1, PType<V2> p2) {
 return Writables.pairs(p1, p2);
}

代码示例来源：origin: cloudera/crunch

public static <K, V> WritableTableType<K, V> tableOf(
  PType<K> key, PType<V> value) {
 if (key instanceof WritableTableType) {
  WritableTableType wtt = (WritableTableType) key;
  key = pairs(wtt.getKeyType(), wtt.getValueType());
 } else if (!(key instanceof WritableType)) {
  throw new IllegalArgumentException("Key type must be of class WritableType");
 }
 if (value instanceof WritableTableType) {
  WritableTableType wtt = (WritableTableType) value;
  value = pairs(wtt.getKeyType(), wtt.getValueType());
 } else if (!(value instanceof WritableType)) {
  throw new IllegalArgumentException("Value type must be of class WritableType");
 }
 return new WritableTableType((WritableType) key, (WritableType) value);
}

代码示例来源：origin: org.apache.crunch/crunch

public static <K, V> WritableTableType<K, V> tableOf(PType<K> key, PType<V> value) {
 if (key instanceof WritableTableType) {
  WritableTableType wtt = (WritableTableType) key;
  key = pairs(wtt.getKeyType(), wtt.getValueType());
 } else if (!(key instanceof WritableType)) {
  throw new IllegalArgumentException("Key type must be of class WritableType");
 }
 if (value instanceof WritableTableType) {
  WritableTableType wtt = (WritableTableType) value;
  value = pairs(wtt.getKeyType(), wtt.getValueType());
 } else if (!(value instanceof WritableType)) {
  throw new IllegalArgumentException("Value type must be of class WritableType");
 }
 return new WritableTableType((WritableType) key, (WritableType) value);
}

代码示例来源：origin: org.apache.crunch/crunch-core

public static <K, V> WritableTableType<K, V> tableOf(PType<K> key, PType<V> value) {
 if (key instanceof WritableTableType) {
  WritableTableType wtt = (WritableTableType) key;
  key = pairs(wtt.getKeyType(), wtt.getValueType());
 } else if (!(key instanceof WritableType)) {
  throw new IllegalArgumentException("Key type must be of class WritableType");
 }
 if (value instanceof WritableTableType) {
  WritableTableType wtt = (WritableTableType) value;
  value = pairs(wtt.getKeyType(), wtt.getValueType());
 } else if (!(value instanceof WritableType)) {
  throw new IllegalArgumentException("Value type must be of class WritableType");
 }
 return new WritableTableType((WritableType) key, (WritableType) value);
}

代码示例来源：origin: apache/crunch

public int run(String[] args) throws Exception {
 if (args.length != 2) {
  System.err.println();
  System.err.println("Two and only two arguments are accepted.");
  System.err.println("Usage: " + this.getClass().getName() + " [generic options] input output");
  System.err.println();
  GenericOptionsParser.printGenericCommandUsage(System.err);
  return 1;
 }
 // Create an object to coordinate pipeline creation and execution.
 Pipeline pipeline = new MRPipeline(AverageBytesByIP.class, getConf());
 // Reference a given text file as a collection of Strings.
 PCollection<String> lines = pipeline.readTextFile(args[0]);
 // Aggregator used for summing up response size and count
 Aggregator<Pair<Long, Long>> agg = pairAggregator(SUM_LONGS(), SUM_LONGS());
 // Table of (ip, sum(response size), count)
 PTable<String, Pair<Long, Long>> remoteAddrResponseSize = lines
   .parallelDo(extractResponseSize,
     Writables.tableOf(Writables.strings(), Writables.pairs(Writables.longs(), Writables.longs()))).groupByKey()
   .combineValues(agg);
 // Calculate average response size by ip address
 PTable<String, Double> avgs = remoteAddrResponseSize.parallelDo(calulateAverage,
   Writables.tableOf(Writables.strings(), Writables.doubles()));
 // write the result to a text file
 pipeline.writeTextFile(avgs, args[1]);
 // Execute the pipeline as a MapReduce.
 PipelineResult result = pipeline.done();
 return result.succeeded() ? 0 : 1;
}